Zero Shot Prompting refers to the technique of giving a model a task without any prior examples or explicit instructions related to that task. Imagine asking a language model to generate a recipe, where it has never been shown any previous recipes or cooking instructions. This technique contrasts with Few Shot Prompting, where a few examples are provided before task execution. It's commonly used to test a model's generalization and inference capabilities across different tasks.